Análisis de frecuencia de hashtags en Twitter

[ES] En este trabajo se realiza un análisis del comportamiento de los hashtags en una conversación de Twitter, estudiando cómo se distribuye su frecuencia de acuerdo a su popularidad. Se ha observado que se sigue una distribución potencial, según lo esperado por la Ley de Zipf, que indica que existen pocos hashtags con mucha repercusión y muchos que no han tenido mucho éxito. Debido al comportamiento humano en estas redes, muchos de los hashtags no han alcanzado gran repercusión debido a que contienen alguna falta de ortografía o están mal escritos. Para corregir esto se han utilizado distancias de edición de cadenas que han permitido agrupar los hashtags similares entre sí para disminuir el efecto de los hashtags escritos de manera errónea en los estudios realizados. También se muestra la aplicación que tiene la Ley de Benford aplicada al estudio del comportamiento de los usuarios en las redes sociales, donde las distribuciones del primer y segundo dígito más significativo de las frecuencias de los hashtags siguen la distribución esperada por Benford. Esto permite que se pueda utilizar para validar datos provenientes de Twitter y analizarlos en busca de comportamientos sospechosos.[EN] This paper presents an analysis of hashtag’s behaviour in a conversation in Twitter by studying the frecuency distribution according to their popularity. It has been observed that follows a power law, as espected by Zipf’s Law, which states that there are few hastags with huge impact and many others who have not been very successful. Due to the human’s behaviour in social networks, many hashtags have not achieved a great impact because they contain mispelling errors. String distances has been used to correct the errors to group similar hashtags together to decrease the possible impact of these hashtags for future studies. It is also shown that Benford’s Law could be applied to study the user’s behaviour in social networks, where the first and second significant digit distribution of hashtag’s frequencies follow the expected Benford’s distribution and allow it’s use to validate data from Twitter and analyze it for suspicious behaviours.Pérez Melián, JA. (2016). Análisis de frecuencia de hashtags en Twitter. http://hdl.handle.net/10251/71616.TFG

Emisión difusa de hidrógeno en el Volcán Poás, Costa Rica

Se presentan los resultados obtenidos del estudio de las emanaciones difusas de H2 en el volcán Poás, Costa Rica. Este estudio ha implicado la realización de tres campañas en los años 2000, 2001 y 2002, conla finalidad de investigar la distribución espacial de la concentración de H2 en el gas del suelo y evaluar la des-gasificación difusa de esta especie como una herramienta geoquímica para el programa de vigilancia volcánicadel Poás. Las concentraciones de H2 en el gas del suelo medidas presentan un amplio rango de valores que vandesde 0,4 a 7059 ppmV. La mayor parte del área de estudio reflejó contenidos relativamente bajos de H2 en elgas del suelo, mientras que las concentraciones más altas se midieron en el interior del cráter principal durantelos años 2001 y 2002. Desde la campaña del 2001 se ha observado un aumento relativo del contenido de H2 enel gas del suelo del interior del cráter principal, coincidiendo en el tiempo con un incremento de la actividad fumarólica y de la temperatura en los suelos. Estos resultados pueden indicar la existencia de cambios en el sistema volcánico-hidrotermal del Poás, por lo que el monitoreo de las emanaciones difusas de H2 podría ser útilpara mejorar el programa de vigilancia volcánica. We report the results of the study of diffuse H2 emission from Poás volcano, Costa Rica. Three surveys were carried out in 2000, 2001 and 2002, to investigate soil H2 distribution in and around Poás summit crater and to evaluate diffuse H2 emission as a potential geochemical tool for the Poás volcano monitoring program. Soil H2 contents showed a wide range of concentrations from 0.4 to 7,059 ppmV. Most of the study area showed low levels of H2 in the soil atmosphere, and the highest values of soil gas H2 were just observed inside the summit crater of Poás volcano for the 2001 and 2002 surveys. These surface geochemical changes coincide with an increase of the fumarolic activity as well as soil temperature rose inside the crater during this study.The results here reported suggest changes in the Poás volcanic-hydrothermal system, therefore monitoring diffuse H2 emission could be useful for the volcanic surveillance of Poás volcano.

VII Jornadas de Innovación Educativa de la Universidad de La Laguna: imaginar y comprender la innovación en la Universidad

The change of structure and process of the organizations of the current society has generated a great impact in the new way of working. Work teams coordination ensures that a team functions as a unitary whole; is identified as a key process to understand work team effectiveness. This paper presents a brief introduction of the recent research on Work teams in organizations and raises relevant issues about their implications for Pedagogy studies. This paper aims, first, to analyze the potential of team based organizations. And secondly, to examine the effects in pedagogy studies. Coordination is a process that involves the use of strategies and patterns of behavior aimed to integrate actions, knowledge and goals of interdependent members. The tasks have increased its difficulty, doing that individual resolution is very difficult or impossibleUniversidad de La Lagun

The risk of COVID-19 death is much greater and age dependent with type I IFN autoantibodies

International audienceSignificance There is growing evidence that preexisting autoantibodies neutralizing type I interferons (IFNs) are strong determinants of life-threatening COVID-19 pneumonia. It is important to estimate their quantitative impact on COVID-19 mortality upon SARS-CoV-2 infection, by age and sex, as both the prevalence of these autoantibodies and the risk of COVID-19 death increase with age and are higher in men. Using an unvaccinated sample of 1,261 deceased patients and 34,159 individuals from the general population, we found that autoantibodies against type I IFNs strongly increased the SARS-CoV-2 infection fatality rate at all ages, in both men and women. Autoantibodies against type I IFNs are strong and common predictors of life-threatening COVID-19. Testing for these autoantibodies should be considered in the general population

The risk of COVID-19 death is much greater and age dependent with type I IFN autoantibodies

International audienceSignificance There is growing evidence that preexisting autoantibodies neutralizing type I interferons (IFNs) are strong determinants of life-threatening COVID-19 pneumonia. It is important to estimate their quantitative impact on COVID-19 mortality upon SARS-CoV-2 infection, by age and sex, as both the prevalence of these autoantibodies and the risk of COVID-19 death increase with age and are higher in men. Using an unvaccinated sample of 1,261 deceased patients and 34,159 individuals from the general population, we found that autoantibodies against type I IFNs strongly increased the SARS-CoV-2 infection fatality rate at all ages, in both men and women. Autoantibodies against type I IFNs are strong and common predictors of life-threatening COVID-19. Testing for these autoantibodies should be considered in the general population

Correction: Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

International audienc